Software Developer

Vaga não está no LinkedIn

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $79.600 - $156.700 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 8%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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LouisianaNOW.Jobs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🎯 Recrutamento

🏪 Marketplace

Recruitment • Marketplace

LouisianaNOW. Jobs é um portal regional de empregos e um site de atração de talentos focado em conectar candidatos a empregadores e oportunidades econômicas em toda a Louisiana. O site destaca comunidades regionais, setores industriais, empregadores atuais que estão contratando, artigos de aconselhamento de carreira e listas de empregos, e parece ser operado ou apoiado pelo LED FastStart (Desenvolvimento Econômico da Louisiana). Está posicionado como um marketplace que promove as indústrias crescentes da Louisiana e ajuda a combinar talentos com vagas locais e anúncios de investimentos dos empregadores.

Descrição

• Design, develop, and maintain Azure Databricks pipelines for credit card data ingestion, transformation, integration, and downstream consumption • Develop scalable processing solutions using PySpark, Python, Spark SQL, SQL, Delta Lake, and ADLS for high-volume card datasets • Build transformation logic for cardholder, account, transaction, authorization, payment, balance, fee, interest, rewards, and servicing data • Translate business requirements and source-to-target mappings into reusable Databricks notebooks, workflows, jobs, and ETL/ELT processes • Support credit card platform conversion and modernization, including data mapping, historical/incremental loads, transformation, and reconciliation • Implement automated data quality, balancing, reconciliation, cleansing, and exception-handling controls across source and target environments • Protect sensitive cardholder information, including PAN and PCI-sensitive data, through masking, tokenization, encryption, and appropriate data-handling practices • Troubleshoot and optimize Databricks pipelines • Collaborate with credit card SMEs, architects, analysts, and application teams • Provide expertise in designing, developing, and executing solutions that enhance IT product and service quality

🎯 Requisitos

• 5+ years of Data Engineering, ETL/Data Warehouse, or Big Data experience, including 3+ years of hands-on Azure Databricks development • Strong hands-on development experience with Databricks, PySpark, Python, Spark SQL, SQL, Delta Lake, and ADLS • Experience designing and developing scalable ETL/ELT pipelines for large-volume transactional and financial datasets • Strong experience with data transformation, source-to-target mapping, cleansing, reconciliation, data quality, and exception handling • Credit card/payments domain experience with knowledge of card accounts, transactions, authorizations, payments, balances, billing, and settlement • Experience with Azure DevOps, Git, CI/CD, and Agile/Scrum development practices • Strong banking/financial services experience and understanding of financial data controls and reconciliation • Bachelor's Degree • Experience with TSYS or another major credit card processing platform • Experience supporting credit card conversions, migrations, or platform modernization • Knowledge of the end-to-end card lifecycle, including authorization, authentication, clearing, settlement, posting, and reconciliation • Experience with Mastercard and/or Visa data, interfaces, reporting, rewards, or loyalty programs • Understanding of PCI DSS, PAN protection, tokenization/de-tokenization, encryption, and sensitive cardholder data management • Experience with advanced Databricks capabilities such as Unity Catalog, Workflows, Auto Loader, and Lakeflow/Delta Live Tables • Experience modernizing Informatica PowerCenter or SSIS workloads to Databricks/PySpark • Azure and/or Databricks certifications and experience with large-scale banking conversion initiatives • Ability to successfully complete a background investigation • For applicable roles, ability to meet U.S. government security-clearance requirements

🏖️ Benefícios

• Competitive compensation • Comprehensive insurance options • Matching contributions through the 401(k) plan and the share purchase plan • Paid time off for vacation, holidays, and sick time • Paid parental leave • Learning opportunities and tuition assistance • Wellness and Well-being programs • Ownership opportunity from day 1 through CGI’s share purchase plan and partnership model • Opportunities to deepen skills and broaden career horizons • Global capabilities and technology expertise • Reasonable accommodations for qualified individuals with disabilities